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- Excellent Knowledge of technical analysis software.
- Able to give profitable tips to the client in the worst stock market condition.
- Able to give consistent performance in all segments i.e. Equity cash, Futures & Options, Commodity, Forex, etc - Sound Fundamental knowledge.
- Before giving tips very good homework of the share market is being required daily.
- The accuracy rate should not be less than 85-90 %.
- Preparing research reports like Daily Report, Daily Track sheet, etc Give Intraday Profitable Calls, Prepare Daily Reports / Track sheet.
- Generating intraday trading recommendations in Equities/Commodities.
- Knowledge of forecasting techniques and valuation methods.
- Ability to quickly turnaround a potential idea/story into a research report.
- Conduct comprehensive industry research and analysis.
- Prepare and deliver Industry and Sector Research in their Areas of Specializations.
Hi,
PFB the Job Description for Data Science with ML
Type of hire : PWD and Non PWD
Employment Type : Full Time
Notice Period : Immediate Joiner
Work Days : Mon - Fri
About Ampera:
Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards
About the Role
We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.
Key Responsibilities
- Analyze large, structured and unstructured datasets to derive actionable insights.
- Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
- Apply statistical analysis, feature engineering, and model evaluation techniques.
- Work closely with business stakeholders to understand requirements and convert them into data science solutions.
- Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
- Monitor model performance and retrain models as required.
- Document assumptions, methodologies, and results clearly.
- Collaborate with data engineers and software teams to integrate models into production systems.
- Stay updated with the latest advancements in data science and machine learning.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
- 5+ years of hands-on experience in Data Science and Machine Learning.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
- Experience with ML algorithms:
- Regression, Classification, Clustering
- Decision Trees, Random Forest, Gradient Boosting
- SVM, KNN, Naïve Bayes
- Solid understanding of statistics, probability, and linear algebra.
- Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
- Experience working with SQL and relational databases.
- Knowledge of model evaluation metrics and optimization techniques.
Preferred / Good to Have
- Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
- Exposure to NLP, Computer Vision, or Time Series forecasting.
- Experience with big data technologies (Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with MLOps, CI/CD pipelines, and model deployment.
Soft Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder interaction skills.
- Ability to work independently and in cross-functional teams.
- Curiosity and willingness to learn new tools and techniques.
Accessibility & Inclusion Statement
We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.
Equal Opportunity Employer (EOE) Statement
Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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End-to-End SAP-ERP project (BBP to module Go-live)
Experience: 5+Years
Should have done minimum 2-3 End to End Implementations and 1-2 Support Projects.
Strong Knowledge in Implementation.
Involved in workshops for requirement gathering of the client business processes.
Coordinate with the stakeholders during requirement gathering and execution phases.
Hands-on capabilities in Blueprinting, Configuration and Testing the complete process cycles.
Integration knowledge across modules, including Payroll, Projects, TRM, BPC, FM, MM, PM and SD.
Good to have an exposure in PSU processes.
Involved with technical team in providing the functional specifications and testing of client business processes.
Involved in user training workshops, documentation and handling day-to-day issues.
Should have good communication skills and be able to successfully conduct Workshops.
Should have experience of handling a team.
Client interfacing.
🔧 What You’ll Do
- Engage with customers via live chat and email, helping them troubleshoot issues, complete onboarding, and succeed with the product.
- Interact with e-commerce business owners globally, understand their workflows, and guide them in using the product effectively.
- Watch user session videos to identify product adoption roadblocks and suggest UI/UX improvements to the product team.
- Categorize and escalate technical issues or product requests to the relevant internal teams (Product, Engineering).
- Maintain clear communication logs and support documentation.
- Be a voice of the customer, advocating for their success and experience.
👌 What Makes You a Great Fit
- You genuinely enjoy helping people and want to see them succeed.
- You treat support like a Michelin-star service experience, focused on precision, warmth, and follow-through.
- You’re curious, empathetic, and a strong communicator — especially in writing.
- You're comfortable engaging with people from diverse cultural and business backgrounds.
- You don’t mind watching session recordings to spot friction points — and suggesting improvements.
🌐 Nice-to-Have Skills (Not Mandatory)
- Basic working knowledge of SQL, JavaScript, Postman, or web debugging/analytics tools.
- Prior experience in a SaaS startup, especially in a support, CX, or success role.
Apply Link - https://tally.so/r/wv0lEA
Key Responsibilities:
- Software Development:
- Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
- Contribute to the development of micro services, APIs, or UI components as per the project requirements.
- System Architecture:
- Collaborate and design and enhance system architecture.
- Analyse and identify opportunities for performance improvements and scalability.
- Code Reviews and Mentorship:
- Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
- Mentor and support junior developers, fostering a culture of learning and growth.
- Agile Collaboration:
- Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
- Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.
- Problem-Solving:
- Investigate, troubleshoot, and resolve complex issues in production and development environments.
- Contribute to incident management and root cause analysis to improve system reliability.
- Continuous Improvement:
- Stay up-to-date with emerging technologies and industry trends.
- Propose and implement improvements to existing codebases, tools, and development processes.
Qualifications:
Must-Have:
- Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
- Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- Technical Skills:
- Strong proficiency in [programming languages/frameworks/tools].
- Experience with cloud platforms like AWS, Azure, or GCP.
- Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
- Understanding of data structures, algorithms, and system design principles.
Nice-to-Have:
- Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Knowledge of database technologies (SQL and NoSQL).
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work in a fast-paced environment and manage multiple priorities effectively.
As a Sales Development Representative (SDR), you will be responsible for supporting the sales team by identifying, prospecting, and qualifying potential clients. This entry-level role is ideal for someone with 1-2 years of experience in sales development or customer-facing roles, who is looking to grow their career in SaaS sales. This position offers a fantastic opportunity to learn about SaaS sales processes, sharpen outreach skills, and build relationships with industry professionals. This position involves regular client interaction, both virtually and in-person, and requires travel. The day-to-day
Lead Generation and Outreach
● Research potential clients within target industries and initiate contact via email, phone, and social media channels.
● Qualify inbound and outbound leads based on initial criteria to identify high-potential opportunities for the sales team.
● Conduct discovery calls to understand prospect needs and determine fit with jhana.ai’s offerings. Pipeline Management
● Keep CRM records(e.g., Salesforce, HubSpot) updated with lead information, activities, and progress.
● Ensure timely follow-up with prospects and manage the lead handoff process smoothly with Account Managers.
Support Sales Strategy
● Work closely with the SDR team to align on messaging and outreach strategies that resonate with our ideal customer profiles (ICPs).
● Attend weekly meetings and actively participate in brainstorming and strategic discussions. Performance Tracking &Reporting
● Track personal outreach metrics (e.g., emails sent, calls made, meetings set) and meet or exceed weekly/monthly targets.
● Share insights from prospect interactions to help refine sales messaging and improve lead qualification criteria.
Qualifications & Skills
● Experience: 1-2 years in an SDR, customer service, or other client-facing role, ideally within the SaaS or technology industry.
● Strong Communication Skills: Excellent verbal and written communication skills with an ability to connect with people and convey value concisely.
● Adaptability and Resilience: Able to handle a fast-paced environment and manage constructive feedback, with a positive, solutions-oriented mindset
● Curiosity and Willingness to Learn: Strong interest in understanding customer needs and learning the sales process in depth.
● Organizational Skills: Ability to prioritize tasks effectively, manage time efficiently, and keep track of multiple interactions and leads.
● Tech-Savvy: Basic familiarity with CRM systems (e.g., Salesforce, HubSpot) and sales engagement tools (e.g., Outreach, SalesLoft). Comfortable with learning and using new software.
● Team Collaboration: Willingness to work closely with Account Managers, other SDRs, and Marketing to share insights and align on lead qualification strategies.
● Self-Motivated and Goal-Oriented: Driven to achieve targets, with a proactive approach to managing outreach and follow-up activities
. ● Understanding of SaaS Sales (Preferred): Basic knowledge of SaaS sales cycles and customer pain points, especially within legal or tech industries, is a plus.
React Native Role :
We are looking for a qualified React Native developer to join our Engineering team. Ultimately, you should be able to design and build the next generation of our mobile applications.
What is expected of our App Developers?
- Understand the healthcare context and identify key problems
- Innovate, evaluate, and deploy various android and IOs Features that can solve complex healthcare needs
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon, both in regards to estimates and to general process. An understanding of React Native best practices and acommitment to following them.
- Ability to create and maintain continuous integration and delivery of applications.
- A positive mindset and can-do attitude.
- Forensic attention to detail.
Qualifications:
- Bachelor’s degree in CS/IS.
- Experience with React Js, React Native, JavaScript including DOM Manipulation and
JavaScript object model.
- Thorough understanding of React Native and its core Principles.
- Hands on experience on React Native Framework at least 2 years.
- Good Knowledge of HTML5, CSS.
- Familiarity with code versioning tools (Such as Git, SVN or Mercurial)
- Familiarity with RESTful APIs
- Familiarity with modern front-end build pipelines and tools.
- Experience with common front-end development tools such as Babel, Web pack, NPM etc.
10.Experience with Native Mobile app deployment on App store and google play store.
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
- Become the expert of our platform and have a complete understanding of our features and use-cases.
- Conduct product demonstrations on a daily basis to clients.
- Own the full sales cycle of closing a deal.
- Discover customer needs and communicate to prospects how company is different from all other competitive platforms.
- Ability to crack annual deals from clients by smartly using closing levers.
Qualifications
- Sales guy in-person meetings + on-spot closure with institutes.
- Should have 1+ years relevant experience in the SaaS domain.
- Should have a two-wheeler
Mandatory Skills:
- Must have two wheeler
- Well versed in Regional Language along with English
- SaaS experience

Offers brokerage-free equity investments, retail, etc. (Z1)
- General Accounting
- Account Payable/Account Receivable
- Debit/credit, reconciliation
- Bank Receivable and Bank Payable.
- TDS, Tax rules
- Balance sheet
- Bank and other reconciliation's



