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We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
Looking an experienced and organized Project Manager to oversee end-to-end project execution, ensure timely delivery, and coordinate between teams, clients, and stakeholders. The role requires strong leadership, planning, and communication skills to successfully manage projects and achieve business objectives.
Key Responsibilities:
- Plan, execute, and deliver projects within scope, budget, and timelines.
- Define project objectives, deliverables, and resource requirements.
- Coordinate with cross-functional teams (sales, operations, documentation, counseling, etc.).
- Track project progress, prepare reports, and communicate updates to management and stakeholders.
- Identify project risks, issues, and bottlenecks; implement corrective actions.
- Ensure client requirements are clearly understood and met with quality standards.
- Manage project documentation, compliance, and reporting.
- Lead, mentor, and motivate team members to achieve performance goals.
- Optimize workflows and improve efficiency in project execution.
Requirements:
- Proven work experience as a Project Manager.
- Strong knowledge of project management tools, methodologies, and reporting.
- Excellent leadership, problem-solving, and organizational skills.
- Strong communication and stakeholder management abilities.
- Ability to handle multiple projects simultaneously and meet deadlines.
- Proficiency in MS Office, project management tools (e.g., Trello, Asana, MS Project, Jira).
Key Skills & Experience:
🔹 #SQL, #OraclePLSQL, #Unix / Perl / Python
🔹 #OracleRDBMS (latest) | #PostgreSQL plus
🔹 DB Objects | Performance Tuning | Analytics
🔹 #UnixLinux, Agile (Scrum, JIRA, Confluence, BitBucket)
🔹 DevOps (UC4, Maven, Jenkins, CI/CD)
🔹 ETL, Data Modeling, Informatica
🔹 Java, Angular/React, Spring Boot, XML, JSON, API Gateway
🔹 #OracleAPEX advantage
- Firmware Design and Development experience on different micro-controllers.
- C/C++ programming
- Linux Commands Operating System Concepts
- board bring up, embedded software, Kernel Build, Yocto
- Shell scripting Networking Concepts Openwrt OS Concepts
- Must have good Communication and Presentable skills.
- Experience on any Wifi, Bluetooth, GSM modules is a plus.
- Design, develop, code, test and debug system software.



• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
Location: Chennai
Experience: 6 to 15 years
Job Description



2+ years of .NET Development experience
- Exceptional skills Experience with .NET, technologies (WPF, Web Forms, .NET Core). Also skilled in MS SQL and PostgreSQL, Bootstrap and DevOps.
- Experience with DevExpress, Elasticsearch.Net, VS Studio is preferred SolarSearch
- Great business process understanding and written and verbal communication skills
- GitHub and Git experience.
Scala/Akka, Microservices, Akka streams, Play, Kafka, NoSQL. Java/J2EE, Spring, Architecture & Design, Enterprise integration ML/Data analytics, BigData technologies, Python/R programming, ML Algorithms/data models, ML tools(H2O/Tensorflow/Prediction.io), Realtime dashboards & batch, cluster compute (Spark/Akka), Distributed Data platforms (HDFS, Elastic search, Splunk, Casandra), Kafka with cross DC replication, NoSQL & In-memory DB

