IBM

Senior AI Back End developer

Posted On

Nov. 11, 2024

Location

Bangalore, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Nov. 29, 2024

Job Description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities

The Hybrid Integration SAAS team is looking for a Software Developer who loves working with high performing teams, wants to work with cutting edge Node.js / React and Golang technology, and thrives on helping customers become successful with AI projects.
In this role you will have an opportunity to make a big impact by helping build a global development team that excels in delighting our customers.

Key Responsibilities:

Solution Design: Lead the design of end-to-end AI solutions that encompass data acquisition, preprocessing, model selection, training, deployment, and maintenance.
Algorithm Development: Design, implement, and optimize machine learning algorithms and models that solve specific business problems, such as natural language processing, computer vision, recommendation systems, predictive analytics, etc.
Data Preprocessing: Clean, preprocess, and curate large datasets to ensure high-quality data for training and validation of AI models.
Model Training and Evaluation: Train and fine-tune AI models using appropriate techniques and frameworks. Evaluate model performance using relevant metrics and iterate on models to improve their accuracy and efficiency.
Architecture Design: Create high-level architecture designs for AI systems that consider scalability, performance, security, and integration with existing systems.
Technical Leadership: Provide guidance and mentorship to AI developers, data scientists, and engineers, ensuring adherence to best practices and architectural guidelines.
Technology Evaluation: Stay updated with emerging AI technologies, tools, and frameworks, and evaluate their suitability for solving specific business challenges.
Collaboration: Work closely with cross-functional teams, including data engineers, software developers, product managers, and domain experts, to align AI solutions with overall product development.
Proof of Concept: Develop prototypes and proof-of-concepts to demonstrate the feasibility of proposed AI solutions and gain buy-in from stakeholders.
Innovation: Explore innovative AI applications and propose ideas that can lead to new products, features, or enhancements.
Code Development: Write clean, efficient, and well-documented code using programming languages such as Python, and utilize libraries and frameworks like TensorFlow, PyTorch, scikit-learn, etc.
Ethical and Regulatory Compliance: Ensure that AI solutions meet ethical standards and regulatory requirements, particularly in areas such as data privacy, bias mitigation, and transparency.
Performance Optimization: Optimize AI models and system performance, including latency, throughput, and resource utilization, to meet business needs.
Documentation: Maintain clear documentation of the AI models, algorithms, development processes, and deployment procedures.
To be successful, you will need:
Passion for handling technical challenges and be goal and results oriented
Excellent communication skills and ability to work with multiple team
Proven listening, detail-oriented thinking, and creative problem-solving skills
Ability to work in highly collaborative global organization
Be open to flexible schedule in development and support environment
Agile development experience
What we look for:
Hands on experience in AI , Python, Java , Scala and utilize libraries and frameworks like TensorFlow, PyTorch, strongly preferred.
BE/B Tech in Computer Science or relevant and 17 to 20+ years track record in Architecture and development in a customer facing role working with enterprise software

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Required Technical and Professional Expertise

7-8 years of experience in developing enterprise applications using Java, Python, Scala, spark and related technologies with 2+ years a focus on Data Engineering, DataOps, MLOps
Knowledge of data best practices and ML/Dev operations in SaaS and hybrid environments
Software development strategies for low latency, high throughput software’s
Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto
Deep understanding of data pipelines, data modelling strategies, schema management
Experience with specialized data architectures like data lake, data mesh and optimizing data layouts for efficient processing.
Hands on Experience with streaming platforms and frameworks like Kafka, spark-streaming
Strong understanding of advanced algorithms used in design and development of enterprise grade software
Strong understanding of data governance, data security, and data privacy best practices.
Strong expertise in working with distributed big data technologies and frameworks like Spark, Flink or Kafka.
Ability in managing and communicating data pipeline plans to internal clients
Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source
Familiarity with platforms like Kubernetes and experience building on top of the native platforms
Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
Ability to provide guidance to less experienced team members.

Preferred Technical and Professional Expertise

Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)
Experience working with both batch and streaming data processing pipelines using workflow engines (Argo, Tekton, etc.)
Experience developing or leveraging automated platforms for data observability, data quality and drift and systems to automatically identify and correct data issues.

About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Your Life @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location Statement

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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