11+ Amazon Glacier Jobs in India

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.

Product Range –

• Power Transformers up to 200 MVA and 400 kV

• Generator Transformers

• Unit Auxiliary Transformers

• Special Application Transformers

Role: Production

Locations: Airoli

Qualification: Diploma/Degree in engineering

Years of Experience: 2 to 12 years

Work hours: shift working involved

Nature of Experience: exposure to any of the sections in production i.e. Core Coil Assembly, Separate Phase Assembly, Winding, VPD Ovening, Tanking

Responsibilities:

·        Completion of shop floor loading & monitor closely productivity of workers.

• Ensure completion of daily production targets adhering to defined standards of cost, quality and time
• Attend productivity meetings to discuss the discrepancies in the planned vs actual plan.
• Preparation of productivity reports based on throughput & timeliness for presenting the same in productivity meetings.
• Undertake Production Planning and Control activities ensuring adherence to production targets in terms of cost, quality, throughput & timeliness Coordinate with the technical design (electrical and mechanical) function for a design review before the start of every work order and for clarifications on design parameters during production 
• Ensure material requisitions are raised on time to obtain the material from the stores team
•  Ensure the adherence of the workers to the shift schedule.
• Drive discipline on the shop floor and maintain healthy industrial relations in coordination with the HR function
• Drive a culture of continuous improvement in section of the production process
• Ensure appropriate training is been given to the winding team by conducting various training sessions.
• Ensure all the documentation & statutory compliances are fulfilled in timely manner to facilitate completion of all the audits.
• Identify production bottlenecks and ensure elimination of the same in coordination with the engineering function
• Drive cost savings through cost effective utilization of resources, process improvements and reduction in operational expenses / overheads
• Ensure all production related documentations / records are maintained and updated through SAP
• Ensure compliance to SOP’s ,process flows and production protocol to ensure minimum deviation from specifications

Job Summary:

We are seeking a motivated and enthusiastic Inside Sales Representative to join our team. The Inside Sales Representative will be responsible for selling our products or services over the phone, email, and other digital channels to potential clients. The ideal candidate should be an excellent communicator, have a strong sales aptitude, and possess the ability to work in a fast-paced environment.

Key Responsibilities:

• Reach out to potential customers via phone, email, and other digital channels to sell our products or services.
• Develop and maintain relationships with customers to build long-term partnerships.
• Conduct research to identify potential customers and understand their needs.
• Explain the features and benefits of our products or services to customers and address any questions or concerns they may have.
• Close sales and achieve weekly and monthly sales targets.
• Collaborate with marketing and sales teams to develop and implement sales strategies and tactics.
• Maintain accurate and up-to-date records of customer interactions and sales activities in our CRM system.
• Participate in regular sales training and stay up-to-date on industry trends and product knowledge.
• Provide exceptional customer service to ensure customer satisfaction.

Qualifications:

• Bachelor's degree in Business Administration, Marketing, or related field preferred.
• Must have worked with SAAS companies selling to the US market
• 2+ years of experience in inside sales or related fields.
• Excellent communication skills, both verbal and written.
• Strong sales aptitude and ability to negotiate effectively.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Familiarity with CRM software and sales tools.
• Goal-oriented and results-driven with a strong focus on achieving targets.
• Ability to work well in a team environment.
• Strong problem-solving skills and ability to think creatively.
• Positive attitude and ability to handle rejection professionally.

We offer a competitive salary package with incentives and opportunities for career growth. If you are a driven and results-oriented individual with a passion for sales, we encourage you to apply for this exciting opportunity.

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Srijan Technologies is hiring for Delivery Manager - Data Science/Data Engineering
with a permanent WFH option.

Notice: Immediate joiners or candidates with 30 days of notice period are preferred.

Required Skills/Experience:
        • Overall Experience of 10+ years in the Industry
        • Good experience in Agile methodology
        • Experience in delivering Data engineering and data integration  		    projects is a must
        • Experience in delivering Analytical programs is a must
        • Experience in delivering AI / ML projects will be an added advantage
        • Analytical skills
        • Well-developed interpersonal skills
        • Commercial awareness
        • Effective Communication
        • Team working skills
        • Ability to motivate people
        • Management and leadership skills