Senior AIML Engineer

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role: Senior AIML Engineer

Experience: 6+ Yrs

Location: Pune

Skillsets- AIML, Gen AI, MLOps, AWS, Python, ML(Machine Learning), Data Science, SQL,AWS

Job Summary:

We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning, with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform.

The Role:

As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of

mentoring peers and delivery of AI products powered by our internal AI models and

machine learning pipelines. You'll identify new opportunities for AI solutions throughout

the organization, and set the direction and roadmap required to implement MLOPS. You

will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and

accuracy over time. Collaborating closely with Product, Research, and Engineering teams,

youll ensure seamless integration of AI technologies into our products, setting new

standards for data quality and model performance.

Responsibilities:

• Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast
• Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team
• Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies
• Establish evaluation criteria for data quality tracking and production ML model tracking
• Partner with product, research, and engineering to ensure product changes integrate effectively .

Required Qualifications:

• 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading.
• Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production.
• Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps
• Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx
• 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development.
• Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes.

Preferred Qualifications:

• 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship.
• Experience migrating data sets and workflows between legacy data platforms and services.
• Familiarity with stream processing and event driven architecture
• Comfortable moving quickly and working in a fast-paced, agile XP, lean environment.
• Experience in leading offshore and nearshore teams is highly valued.