17 Sep
|
VARITE
|
Bengaluru
Company Name: VARITE India Private Limited
About The Client
An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.
Essential Job Functions:
- Design, build, test, and deploy robust and scalable AI/ML models and applications.
- Take ownership of features from initial concept through to production and ongoing maintenance.
- Contribute to the technical and architectural design of new AI systems and services, ensuring they meet standards for performance, security, and scalability.
- Implement state-of-the-art machine learning and deep learning models.
- Fine-tune and optimize models for specific business use cases, focusing on accuracy and efficiency.
- Analyze complex business requirements and translate them into well-architected, practical, and effective AI solutions.
- Uphold high standards for code quality, testing, and documentation.
- Champion software engineering best practices within the team.
- Deliver code that is secure, reliable, and supportable.
- Provide technical guidance and mentorship to junior engineers, assisting with code reviews and sharing knowledge to elevate the team's overall capabilities.
- Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity.
- Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient.
- Effectively use AI code assistants to deliver code.
- Ensure application diagrams and documentation stay current and relevant.
- Adhere to agile development methodologies.
Key Accountabilities:
- Collaboration with corporate technology teams on architectural designs.
- Partner with product teams to assist with roadmap initiatives and sequences.
- Participation in Agile ceremonies.
Qualifications:
- Exp – 9 to 12 years
Education:
- Bachelor’s in a relevant field of work or an equivalent combination of education and work-related experience.
Experience:
- Typically, a minimum of 6+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
- Proven professional experience building and deploying software in a production environment.
- Demonstrated experience in developing and deploying machine learning models or agentic applications.
- Strong understanding of the full software development lifecycle, including testing, CI/CD, and monitoring.
- Experience working with large datasets and complex data pipelines.
- Ability to work effectively in a collaborative, agile team environment.
- Experience working with a set of geographically dispersed team and bringing a holistic view of development projects.
- An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning current technologies as they evolve.
Technical Skill & Knowledge:
- GCP or AWS Cloud platform project experience.
- Direct experience with a major generative AI platform (e.g., Google Gemini, OpenAI).
- Deep understanding of modern AI concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows.
- Proficiency in Python and extensive experience with its scientific computing and ML/DL libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Strong theoretical and practical understanding of machine learning, deep learning, and natural language processing (NLP).
- Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
- Familiarity with MLOps principles and tools for model versioning, deployment, and monitoring (e.g., Docker, Kubernetes, MLflow).
- Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
- Solid understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).
- Strong analytical and problem-solving skills.
- Ability to display effective verbal and written communication skills when explaining complex technical issues to a variety of technical audiences, including clients, vendors, senior management and staff.
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral: 0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.
📌 AI Engineer (Bengaluru)
🏢 VARITE
📍 Bengaluru